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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/transforms/repeat.cpp
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2026-07-13 12:47:05 +08:00

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/* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_repeat)
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
//////////////////////////////////////////////////////////////////////////
// here iArgs is int vector of repeats at the beginning and last element in iArgs is dimension
CUSTOM_OP_IMPL(repeat, 1, 1, true, 0, -1) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
std::vector<LongType> repeats = *block.getIArguments();
const int axis = repeats.back() < 0 ? repeats.back() + input->rankOf() : repeats.back();
repeats.pop_back();
REQUIRE_TRUE(0 <= axis && axis < input->rankOf(), 0,
"CUSTOM REPEAT OP: wrong axis argument it should be less then input array rank %i, but got %i instead !",
input->rankOf(), axis);
REQUIRE_TRUE(repeats.size() == 1 || repeats.size() == static_cast<size_t>(input->sizeAt(axis)), 0,
"CUSTOM REPEAT OP: wrong axis argument, size of repeats vector must be 1 or equal to dimension at given "
"axis, but got repeats.size = %i and axis = %i !",
repeats.size(), axis);
input->repeat(axis, repeats, *output);
return Status::OK;
}
DECLARE_TYPES(repeat) { getOpDescriptor()->setAllowedInputTypes(ANY)->setSameMode(true); }
DECLARE_SHAPE_FN(repeat) {
auto input = INPUT_VARIABLE(0);
std::vector<LongType> repeats = *block.getIArguments();
const int axis = repeats.back() < 0 ? repeats.back() + input->rankOf() : repeats.back();
repeats.pop_back();
auto outShape = ShapeUtils::evalRepeatShape(axis, repeats, *input);
auto ret = SHAPELIST(ConstantShapeHelper::getInstance().bufferForShapeInfo(input->dataType(),
input->ordering(),
outShape)->primary());
return ret;
}
} // namespace ops
} // namespace sd
#endif